Senior Software Engineer, Core Ex AI Team
Instacart
Senior Software Engineer, Core Ex AI Team
Job Description
Responsibilities
- Design and implement backend features that incorporate ML/AI: Develop enhancements to Instacart’s systems(search, recommendations, etc.) using your own lightweight ML techniques. You will identify product needs and independently build solutions such as a re-ranking module that boosts diverse items, simple logistic regression models for personalization, or prompt engineering workflows for content generation.
- Collaborate on productionizing complex models: Work closely with Machine Learning Engineers to integrate their advanced research models (such as deep recommendation engines) into production services. You will handle the software architecture for model serving, optimize inference performance, and ensure these models run reliably and efficiently at high scale.
- Develop data-driven algorithms and heuristics: Create robust pipelines for data aggregation and rule-based heuristics to power features like "trending items" or "popular searches." You will write efficient queries or real time pipelines to compute these metrics and integrate the results into user-facing feeds.
- Implement and monitor evaluation metrics: Adopt a debug-first and analytical mindset for all intelligent features. You will design offline evaluation methods to validate your improvements before launch and develop dashboards to track performance metrics such as accuracy, latency, and drift in the production environment.
- Maintain high engineering standards: Ensure that all code meets Instacart’s quality standards. You will write unit and integration tests for both backend services and ML pipelines, conduct code reviews, and ensure the systems you build are scalable, maintainable, and easy to debug.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science (or related field), or equivalent experience.
- 5 years of experience with software development in one or more programming languages.
- 2 years of experience with machine learning algorithms and tools, or artificial intelligence.
- Hands-on experience with fundamental ML concepts and tools.
- Demonstrated ability to work in cross-functional teams and partnering with ML engineers, product managers, and data scientists.
- Willingness to learn new AI technologies and adapt to the iterative, experiment-driven workflow of ML projects.
- Strong SQL skills to derive insights from data.
Preferred Qualifications
- Experience deploying ML models into high-traffic production environments
- Experience building data pipelines (batch vs. real-time) for ML features is beneficial.
- Ability to design systems that integrate ML components, covering areas such as model deployment, feature engineering, and update strategies
- Ability to design offline experiments and analyze results. Comfortable with metrics such as precision/recall, AUC, or other evaluation techniques to judge performance without always needing an online experiment.
Required Skills
- software development in one or more programming languages
- machine learning algorithms and tools
- artificial intelligence
- fundamental ML concepts and tools
- SQL skills
- cross-functional teams collaboration
- deploying ML models into production
- building data pipelines (batch vs. real-time)
- system design for ML components
- model deployment
- feature engineering
- update strategies
- offline experiments
- precision/recall
- AUC
- evaluation techniques
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
- benefits offerings
Locations
- United States, United States (Remote)
Salary
Estimated Salary Rangemedium confidence
280,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- software development in one or more programming languagesintermediate
- machine learning algorithms and toolsintermediate
- artificial intelligenceintermediate
- fundamental ML concepts and toolsintermediate
- SQL skillsintermediate
- cross-functional teams collaborationintermediate
- deploying ML models into productionintermediate
- building data pipelines (batch vs. real-time)intermediate
- system design for ML componentsintermediate
- model deploymentintermediate
- feature engineeringintermediate
- update strategiesintermediate
- offline experimentsintermediate
- precision/recallintermediate
- AUCintermediate
- evaluation techniquesintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science (or related field), or equivalent experience. (experience)
- 5 years of experience with software development in one or more programming languages. (experience)
- 2 years of experience with machine learning algorithms and tools, or artificial intelligence. (experience)
- Hands-on experience with fundamental ML concepts and tools. (experience)
- Demonstrated ability to work in cross-functional teams and partnering with ML engineers, product managers, and data scientists. (experience)
- Willingness to learn new AI technologies and adapt to the iterative, experiment-driven workflow of ML projects. (experience)
- Strong SQL skills to derive insights from data. (experience)
Preferred Qualifications
- Experience deploying ML models into high-traffic production environments (experience)
- Experience building data pipelines (batch vs. real-time) for ML features is beneficial. (experience)
- Ability to design systems that integrate ML components, covering areas such as model deployment, feature engineering, and update strategies (experience)
- Ability to design offline experiments and analyze results. Comfortable with metrics such as precision/recall, AUC, or other evaluation techniques to judge performance without always needing an online experiment. (experience)
Responsibilities
- Design and implement backend features that incorporate ML/AI: Develop enhancements to Instacart’s systems(search, recommendations, etc.) using your own lightweight ML techniques. You will identify product needs and independently build solutions such as a re-ranking module that boosts diverse items, simple logistic regression models for personalization, or prompt engineering workflows for content generation.
- Collaborate on productionizing complex models: Work closely with Machine Learning Engineers to integrate their advanced research models (such as deep recommendation engines) into production services. You will handle the software architecture for model serving, optimize inference performance, and ensure these models run reliably and efficiently at high scale.
- Develop data-driven algorithms and heuristics: Create robust pipelines for data aggregation and rule-based heuristics to power features like "trending items" or "popular searches." You will write efficient queries or real time pipelines to compute these metrics and integrate the results into user-facing feeds.
- Implement and monitor evaluation metrics: Adopt a debug-first and analytical mindset for all intelligent features. You will design offline evaluation methods to validate your improvements before launch and develop dashboards to track performance metrics such as accuracy, latency, and drift in the production environment.
- Maintain high engineering standards: Ensure that all code meets Instacart’s quality standards. You will write unit and integration tests for both backend services and ML pipelines, conduct code reviews, and ensure the systems you build are scalable, maintainable, and easy to debug.
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
- general: benefits offerings
Tags & Categories
Senior Software Engineer, Core Ex AI Team
Instacart
Senior Software Engineer, Core Ex AI Team
Job Description
Responsibilities
- Design and implement backend features that incorporate ML/AI: Develop enhancements to Instacart’s systems(search, recommendations, etc.) using your own lightweight ML techniques. You will identify product needs and independently build solutions such as a re-ranking module that boosts diverse items, simple logistic regression models for personalization, or prompt engineering workflows for content generation.
- Collaborate on productionizing complex models: Work closely with Machine Learning Engineers to integrate their advanced research models (such as deep recommendation engines) into production services. You will handle the software architecture for model serving, optimize inference performance, and ensure these models run reliably and efficiently at high scale.
- Develop data-driven algorithms and heuristics: Create robust pipelines for data aggregation and rule-based heuristics to power features like "trending items" or "popular searches." You will write efficient queries or real time pipelines to compute these metrics and integrate the results into user-facing feeds.
- Implement and monitor evaluation metrics: Adopt a debug-first and analytical mindset for all intelligent features. You will design offline evaluation methods to validate your improvements before launch and develop dashboards to track performance metrics such as accuracy, latency, and drift in the production environment.
- Maintain high engineering standards: Ensure that all code meets Instacart’s quality standards. You will write unit and integration tests for both backend services and ML pipelines, conduct code reviews, and ensure the systems you build are scalable, maintainable, and easy to debug.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science (or related field), or equivalent experience.
- 5 years of experience with software development in one or more programming languages.
- 2 years of experience with machine learning algorithms and tools, or artificial intelligence.
- Hands-on experience with fundamental ML concepts and tools.
- Demonstrated ability to work in cross-functional teams and partnering with ML engineers, product managers, and data scientists.
- Willingness to learn new AI technologies and adapt to the iterative, experiment-driven workflow of ML projects.
- Strong SQL skills to derive insights from data.
Preferred Qualifications
- Experience deploying ML models into high-traffic production environments
- Experience building data pipelines (batch vs. real-time) for ML features is beneficial.
- Ability to design systems that integrate ML components, covering areas such as model deployment, feature engineering, and update strategies
- Ability to design offline experiments and analyze results. Comfortable with metrics such as precision/recall, AUC, or other evaluation techniques to judge performance without always needing an online experiment.
Required Skills
- software development in one or more programming languages
- machine learning algorithms and tools
- artificial intelligence
- fundamental ML concepts and tools
- SQL skills
- cross-functional teams collaboration
- deploying ML models into production
- building data pipelines (batch vs. real-time)
- system design for ML components
- model deployment
- feature engineering
- update strategies
- offline experiments
- precision/recall
- AUC
- evaluation techniques
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
- benefits offerings
Locations
- United States, United States (Remote)
Salary
Estimated Salary Rangemedium confidence
280,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- software development in one or more programming languagesintermediate
- machine learning algorithms and toolsintermediate
- artificial intelligenceintermediate
- fundamental ML concepts and toolsintermediate
- SQL skillsintermediate
- cross-functional teams collaborationintermediate
- deploying ML models into productionintermediate
- building data pipelines (batch vs. real-time)intermediate
- system design for ML componentsintermediate
- model deploymentintermediate
- feature engineeringintermediate
- update strategiesintermediate
- offline experimentsintermediate
- precision/recallintermediate
- AUCintermediate
- evaluation techniquesintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science (or related field), or equivalent experience. (experience)
- 5 years of experience with software development in one or more programming languages. (experience)
- 2 years of experience with machine learning algorithms and tools, or artificial intelligence. (experience)
- Hands-on experience with fundamental ML concepts and tools. (experience)
- Demonstrated ability to work in cross-functional teams and partnering with ML engineers, product managers, and data scientists. (experience)
- Willingness to learn new AI technologies and adapt to the iterative, experiment-driven workflow of ML projects. (experience)
- Strong SQL skills to derive insights from data. (experience)
Preferred Qualifications
- Experience deploying ML models into high-traffic production environments (experience)
- Experience building data pipelines (batch vs. real-time) for ML features is beneficial. (experience)
- Ability to design systems that integrate ML components, covering areas such as model deployment, feature engineering, and update strategies (experience)
- Ability to design offline experiments and analyze results. Comfortable with metrics such as precision/recall, AUC, or other evaluation techniques to judge performance without always needing an online experiment. (experience)
Responsibilities
- Design and implement backend features that incorporate ML/AI: Develop enhancements to Instacart’s systems(search, recommendations, etc.) using your own lightweight ML techniques. You will identify product needs and independently build solutions such as a re-ranking module that boosts diverse items, simple logistic regression models for personalization, or prompt engineering workflows for content generation.
- Collaborate on productionizing complex models: Work closely with Machine Learning Engineers to integrate their advanced research models (such as deep recommendation engines) into production services. You will handle the software architecture for model serving, optimize inference performance, and ensure these models run reliably and efficiently at high scale.
- Develop data-driven algorithms and heuristics: Create robust pipelines for data aggregation and rule-based heuristics to power features like "trending items" or "popular searches." You will write efficient queries or real time pipelines to compute these metrics and integrate the results into user-facing feeds.
- Implement and monitor evaluation metrics: Adopt a debug-first and analytical mindset for all intelligent features. You will design offline evaluation methods to validate your improvements before launch and develop dashboards to track performance metrics such as accuracy, latency, and drift in the production environment.
- Maintain high engineering standards: Ensure that all code meets Instacart’s quality standards. You will write unit and integration tests for both backend services and ML pipelines, conduct code reviews, and ensure the systems you build are scalable, maintainable, and easy to debug.
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
- general: benefits offerings
Tags & Categories